iPhone17,5
Geekbench AI Score
4306
Single Precision Score
33295
Half Precision Score
44678
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 04:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2019
375.5 IPS |
|
|
Image Classification (HP)
|
100% |
14558
2.71 KIPS |
|
|
Image Classification (Q)
|
97% |
18662
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18110
293.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23634
383.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7794
9.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
139028
162.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294599
345.3 IPS |
|
|
Object Detection (SP)
|
100% |
2250
178.4 IPS |
|
|
Object Detection (HP)
|
100% |
15706
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21337
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3407
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
41093
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
50911
604.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7462
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94422
727.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
145892
1.14 KIPS |
|
|
Style Transfer (SP)
|
100% |
19077
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
242666
312.0 IPS |
|
|
Style Transfer (Q)
|
96% |
289579
373.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5042
186.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50504
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79713
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6262
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6277
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3893
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9767
168.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10623
183.6 IPS |
